Incident Score: Analysis & Impact (ASS1783528227)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of AssuranceAmerica's Breach and lateral movement inside company's environment.
- Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
- How Rankiteo’s incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts AssuranceAmerica Rankiteo cyber scoring and cyber rating.
- Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the AssuranceAmerica breach identified under incident ID ASS1783528227.
The analysis begins with a detailed overview of AssuranceAmerica's information like the linkedin page: https://www.linkedin.com/company/assuranceamerica, the number of followers: 4595, the industry type: Insurance and the number of employees: 393 employees
After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 660 and after the incident was 552 with a difference of -108 which is could be a good indicator of the severity and impact of the incident.
In the next step of the video, we will analyze in more details the incident and the impact it had on AssuranceAmerica and their customers.
On 10 July 2024, AssuranceAmerica disclosed Data Breach issues under the banner "AssuranceAmerica Data Breach Affecting 6.9 Million Americans".
U.S.
The disruption is felt across the environment, and exposing Names, contact details, driver’s license numbers, auto insurance policy details, vehicle and driver information, customer claim records, with nearly 6.9 million records at risk.
In response, moved swiftly to contain the threat with measures like Disabled compromised credentials, and stakeholders are being briefed through Notification letters sent to affected individuals.
The case underscores how Concluded, with advisories going out to stakeholders covering Notification letters sent on July 10, 2024.
Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.
The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.
MITRE ATT&CK® Correlation Analysis
Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating hackers targeted an employee, later disabling the compromised credentials and Exploit Public-Facing Application (T1190) with lower confidence (40%), supported by evidence indicating method of credential theft remains unclear, though similar incidents have involved vulnerable software. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (70%), supported by evidence indicating method of credential theft remains unclear, though similar incidents have involved password-stealing malware and OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating hackers targeted an employee, later disabling the compromised credentials. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating hackers accessed sensitive customer data, including names, contact details, and driver’s license numbers and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating auto insurance policy details, vehicle and driver information, and customer claim records were compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data breach impacting 6.9 million people, with data exfiltration confirmed. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on whether data was altered or destroyed and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating driver’s license numbers and identity documents exposed could be exploited for fraud. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- AssuranceAmerica Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/assuranceamerica/incident/ASS1783528227
- AssuranceAmerica CyberSecurity Rating page: https://www.rankiteo.com/company/assuranceamerica
- AssuranceAmerica Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/ass1783528227-assuranceamerica-breach-march-2026/
- AssuranceAmerica CyberSecurity Score History: https://www.rankiteo.com/company/assuranceamerica/history
- AssuranceAmerica CyberSecurity Incident Source: https://techcrunch.com/2026/07/08/another-massive-data-breach-exposed-millions-of-drivers-license-numbers/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf